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Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study.

Laurent Cleret de LangavantEleonore BayenKristine Yaffe
Published in: Journal of medical Internet research (2018)
Unsupervised machine learning identifies high likelihood of dementia in population-based surveys, even without cognitive and behavioral measures and without the need of clinical diagnosis of dementia in a subsample of the population. This method could be used to tackle the global challenge of dementia.
Keyphrases
  • machine learning
  • mild cognitive impairment
  • cognitive impairment
  • artificial intelligence
  • big data
  • deep learning
  • gene expression